Role Purpose

The Marketing Operations Manager owns the systems, data and processes that power how Boku Marketing operates globally and how Marketing feeds the wider go-to-market motion. This hands-on role combines deep technical expertise with strategic, commercial leadership: building a trusted MarTech foundation, improving marketing influence and attribution, and turning campaigns into measurable pipeline and revenue impact. The role works closely with Demand Generation, Sales and Revenue Operations to deliver scalable campaign operations, disciplined lead management and practical AI-enabled ways of working.

Key Responsibilities

Own and continuously improve the operating model, technology and data that enable Marketing to plan, execute and measure high-impact global activity.

• MarTech stack and architecture: Own the end-to-end marketing technology stack, anchored on Salesforce and Account Engagement. Configure, document and optimise integrations, data flows, permissions and processes so the stack is reliable, scalable and easy for teams to use.
• Marketing influence, attribution and reporting: Build and evolve marketing influence and attribution models that connect programmes and touchpoints to pipeline and revenue. Establish reporting standards and actionable dashboards for campaign performance, funnel conversion, contribution and ROI.
• Lead lifecycle management: Design and maintain the trackable path from initial signal and conversion capture through enrichment, scoring and qualification to sales handover, opportunity creation and revenue. Partner with Revenue Operations to define service levels and measure lead-to-opportunity performance.
• Lead scoring and data strategy: Build and iterate fit, engagement and intent scoring models. Own data hygiene, enrichment, segmentation, consent and governance practices, including GDPR and applicable regional requirements.
• Campaign and event operations: Build and optimise event, email and nurture campaigns in Account Engagement. Partner with marketing stakeholders to create repeatable campaign workflows, audience logic, tracking and post-campaign measurement.
• ABM operations: Enable our account-based marketing approach through account selection, segmentation, buying-group data, account journeys, orchestration and measurement in close partnership with Demand Generation, Sales and Channel Marketing.
• AI and workflow automation: Turn AI into practical improvements by automating recurring work, reducing manual effort and improving quality. Build and maintain Marketing’s AI standardisation framework, including approved tools, prompt libraries, review standards and data handling rules.
• Marketing operating cadence: Support marketing leadership to define strategic initiatives, targets and OKRs; manage the operational cadence and leadership reviews; track budget and progress; and unblock cross-functional initiatives across demand generation, channel marketing and brand.
• Process improvement and delivery: Drive operational efficiency by identifying friction, establishing best-practice project management methods and coordinating high-priority integrated campaigns across content, events and ABM.
• Team enablement and adoption: training programmes, playbooks, documentation, office hours, new-user onboarding, and using adoption feedback to improve processes.

Measures of Success

1. Trusted marketing data: agreed data-quality standards, documented governance and measurable improvement in completeness, accuracy and compliance.
2. Lead lifecycle performance: visible conversion and velocity from MQL through sales acceptance, opportunity creation, pipeline and revenue.
3. Effective scoring and handover: scoring model and service-level performance regularly reviewed with Revenue Operations and Sales, with actions taken to improve quality and follow-up.
4. Campaign and event operational excellence: campaigns launched accurately, on time and with consistent audience, tracking, consent and reporting standards.
5. Marketing contribution insight: influence and attribution reporting used in leadership decisions, with clear visibility of programme contribution to pipeline and revenue.
6. Operational leverage: practical AI and workflow automation adopted for priority processes, reducing manual effort while maintaining quality and data-handling standards. Training, playbooks, and measurable user adoption

Key Skills, experience and Competencies

• Salesforce and Account Engagement expertise: Advanced hands-on experience designing, building and optimising marketing automation, CRM processes, integrations, reporting and governance.

• B2B marketing operations: Demonstrated experience in high-growth payments, SaaS or technology environments, supporting demand generation, channel marketing, ABM and brand teams.

• Attribution and analytics: Strong analytical capability, with the ability to translate complex funnel, campaign and revenue metrics into clear business insights and decisions.

• Lead management and data governance: Experience developing lead scoring, lifecycle, enrichment and handover frameworks, alongside strong knowledge of data quality, privacy and GDPR.

• Campaign and ABM execution: Hands-on expertise building email, nurture and event campaigns, with a deep understanding of ABM strategy, audience operations and measurement.

• AI and automation: Practical experience identifying high-value automation opportunities and applying AI responsibly through repeatable workflows, standards and controls.

• Programme leadership and influence: Able to lead operational cadences, manage competing priorities and influence cross-functional stakeholders without direct authority in a fast-paced environment.
• Enablement and training.Ability to turn technical capabilities into practical guidance and training for marketing team.

Qualifications

• No formal qualification is essential; min 7 years equivalent practical experience in marketing operations, revenue operations or marketing technology is required.

• Salesforce and/or Account Engagement certifications, or demonstrable equivalent hands-on expertise.